Show me your friends and I will tell you what type of person you are: How one's profile, number of friends, and type of friends influence impression formation on social network sites
By Sonja Utz. J. Comput. Mediat. Commun., 2010
339 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/cc7d2db9fd1ee0e3c81251244547e6755f3f2441
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Miriam J. Metzger
- Andrew J. Flanagin
- Joe Phua
- Catalina L. Toma
- Nicolas Roulin
- Brandon Van Der Heide
- Jonathan D'Angelo
- Patric R. Spence
In Statistical and Nonlinear Physics
- Miriam J. Metzger
- Andrew J. Flanagin
- Joe Phua
- Jonathan D'Angelo
- Patric R. Spence
- Kristina Heinonen
- Seung-A. Annie Jin
- Brandon Van Der Heide
Citations in the corpus
- There Are Plenty of Fish in the Sea: The Effects of Choice Overload and Reversibility on Online Daters’ Satisfaction With Selected Partners (2017, background): “Similarly, the number of Friends users have on social network sites, a website-generated cue, affects how attractive and extraverted they are perceived (Tong, Van Der Heide, Langwell, & Walther, 2008; Utz, 2010).”
- LinkedIn as a new selection method: Psychometric properties and assessment approach (2018, background): “many “friends” they have, and who those friends are (Utz, 2010; Van Der Heide et al., 2012).”
- Consumer activity in social media: Managerial approaches to consumers' social media behavior (2011, background): “Academic research is appearing, and related concepts are explored, such as social networking sites (Boyd and Ellison, 2008; Utz, 2010), user-generated content (Shao, 2009), and social media (Walker Rettberg, 2009).”
- Adolescent's eWOM intentions: An investigation into the roles of peers, the Internet and gender (2017, neutral): “By reading the content, others may draw conclusions and form opinions about individuals, which can have a positive or negative impact on the reputation and social appeal of individuals in social networking sites (Utz, 2010).”
- Social media as a catalyst for online deliberation? Exploring the affordances of Facebook and YouTube for political expression (2013, background): “…of information provided by their contacts (comments and photos posted), and the system (number and types of friends); and since users have many contacts, these three sources provide a context that allows users to draw inferences about the real identity and personality of others (Utz, 2010).”
- A social network as information: The effect of system generated reports of connectedness on credibility on Twitter (2012, background): “…of social judgments in previous research exploring impression formation on Facebook (Kleck, Reese, Behnken, & Sundar, 2007; Tong et al., 2008; Utz, 2010) as these cues typically are perceived to be generated by an ostensibly unbiased source (i.e., a machine) and are taken by perceivers to be…”
- Following Celebrities’ Tweets About Brands: The Impact of Twitter-Based Electronic Word-of-Mouth on Consumers’ Source Credibility Perception, Buying Intention, and Social Identification With Celebrities (2014, methodology): “…and Hoza 1989) and “social dominance” (Parkhurst and Hopmeyer 1998), the number of friends profile owners have on their SNSs has been one of the most frequently used indicators to gauge online popularity (Utz 2010) and subsequent social influence in SNS environments (Zywica and Danowski 2008).”
- Why Do People Use Facebook? (2011, methodology): “Using a similar study design but adding stimuli that reflected variations in the profile owner’s and friends’ statements about his or her high versus low extraversion, some investigators have found that a target’s own apparent assertions about their extraversion exerted a significant influence on ob”
- Marketing through instagram influencers: impact of number of followers and product divergence on brand attitude (2016, neutral): “…on Influencer Likeability A high number of followers implies that many people are interested in a certain account, as users are perceived more attractive, extravert, trustworthy, approachable and possessing other socially desirable characteristics (Jin and Phua, 2014; Utz, 2010; Graham, 2014).”
- Psychological Approaches to Credibility Assessment Online (2015, background): “…comments on Facebook profiles were more influential in assessments of physical attractiveness than self-comments were (Walther, Van Der Heide, Hamel, & Shulman, 2009) and information generated by others had a higher impact than self-generated information on communal orientation (Utz, 2010).”
- Social Media as Information Source: Recency of Updates and Credibility of Information (2014, background): “…that system-generated cues can be important determinants of social judgments about social media users (Kleck, Reese, Behnken, & Sundar, 2007; Tong, Van Der Heide, Langwell, & Walther, 2008; Utz, 2010), suggesting that system-generated cues can affect interpersonal judgments of a profile owner.”